McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine ...

If/when we ever get to truly trustworthy AI - especially in high stakes fields like healthcare - managing uncertainty will be a core part. And: few scribes write about the edges of enterprise AI ...

Bayesian networks are probabilistic graphical models that encode conditional dependencies among variables within a directed acyclic graph. In the context of causal inference, these networks provide a ...